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2023 (5)

A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning. Kirk, R.; Zhang, A.; Grefenstette, E.; and Rocktäschel, T. JAIR. 2023.
link bibtex

@article{kirk2023survey,
  title={A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning},
  author={Kirk, Robert and Zhang, Amy and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  journal={JAIR},
  year={2023}
}

Efficient Planning in a Compact Latent Action Space. Jiang, Z.; Zhang, T.; Janner, M.; Li, Y.; Rocktäschel, T.; Grefenstette, E.; and Tian, Y. In ICLR 2023, 2023.
link bibtex

@inproceedings{jiang2023efficient,
  title={Efficient Planning in a Compact Latent Action Space},
  author={Jiang, Zhengyao and Zhang, Tianjun and Janner, Michael and Li, Yueying and Rockt{\"a}schel, Tim and Grefenstette, Edward and Tian, Yuandong},
  booktitle={ICLR 2023},
  year={2023}
}

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. Samvelyan, M.; Khan, A.; Dennis, M. D; Jiang, M.; Parker-Holder, J.; Foerster, J. N.; Raileanu, R.; and Rocktäschel, T. In ICLR 2023, 2023.
link bibtex

@inproceedings{samvelyan2023maestro,
  title={MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning},
  author={Samvelyan, Mikayel and Khan, Akbir and Dennis, Michael D and Jiang, Minqi and Parker-Holder, Jack and Foerster, Jakob Nicolaus and Raileanu, Roberta and Rockt{\"a}schel, Tim},
  booktitle={ICLR 2023},
  year={2023}
}

Human-Timescale Adaptation in an Open-Ended Task Space. Team, A. A.; Bauer, J.; Baumli, K.; Baveja, S.; Behbahani, F.; Bhoopchand, A.; Bradley-Schmieg, N.; Chang, M.; Clay, N.; Collister, A.; and others In ICML 2023, 2023.
link bibtex

@inproceedings{team2023human,
  title={Human-Timescale Adaptation in an Open-Ended Task Space},
  author={Team, Adaptive Agent and Bauer, Jakob and Baumli, Kate and Baveja, Satinder and Behbahani, Feryal and Bhoopchand, Avishkar and Bradley-Schmieg, Nathalie and Chang, Michael and Clay, Natalie and Collister, Adrian and others},
  booktitle={ICML 2023},
  year={2023}
}

Stabilizing Unsupervised Environment Design with a Learned Adversary. Mediratta, I.; Jiang, M.; Parker-Holder, J.; D Dennis, M.; Vinitsky, E.; and Rocktäschel, T. In CoLLAs 2023, 2023.
link bibtex

@inproceedings{mediratta2023stabilizing,
  title={Stabilizing Unsupervised Environment Design with a Learned Adversary},
  author={Mediratta, Ishita and Jiang, Minqi and Parker-Holder, Jack and D Dennis, Michael and Vinitsky, Eugene and Rockt{\"a}schel, Tim},
  booktitle={CoLLAs 2023},
  year={2023}
}

2022 (14)

Grounding Aleatoric Uncertainty in Unsupervised Environment Design. Jiang, M.; Dennis, M. D; Parker-Holder, J.; Lupu, A.; Küttler, H.; Grefenstette, E.; Rocktäschel, T.; and Foerster, J. N. In NeurIPS 2022, 2022.
link bibtex

@inproceedings{jiang2022grounding,
  title={Grounding Aleatoric Uncertainty in Unsupervised Environment Design},
  author={Jiang, Minqi and Dennis, Michael D and Parker-Holder, Jack and Lupu, Andrei and K{\"u}ttler, Heinrich and Grefenstette, Edward and Rockt{\"a}schel, Tim and Foerster, Jakob Nicolaus},
  booktitle={NeurIPS 2022},
  year={2022}
}

Generalization in cooperative multi-agent systems. Mahajan, A.; Samvelyan, M.; Gupta, T.; Ellis, B.; Sun, M.; Rocktäschel, T.; and Whiteson, S. arXiv preprint arXiv:2202.00104. 2022.
link bibtex

@article{mahajan2022generalization,
  title={Generalization in cooperative multi-agent systems},
  author={Mahajan, Anuj and Samvelyan, Mikayel and Gupta, Tarun and Ellis, Benjamin and Sun, Mingfei and Rockt{\"a}schel, Tim and Whiteson, Shimon},
  journal={arXiv preprint arXiv:2202.00104},
  year={2022}
}

Improving Intrinsic Exploration with Language Abstractions. Mu, J.; Zhong, V.; Raileanu, R.; Jiang, M.; Goodman, N.; Rocktäschel, T.; and Grefenstette, E. In NeurIPS 2022, 2022.
link bibtex

@inproceedings{mu2022improving,
  title={Improving Intrinsic Exploration with Language Abstractions},
  author={Mu, Jesse and Zhong, Victor and Raileanu, Roberta and Jiang, Minqi and Goodman, Noah and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={NeurIPS 2022},
  year={2022}
}

Evolving Curricula with Regret-Based Environment Design. Parker-Holder, J.; Jiang, M.; Dennis, M.; Samvelyan, M.; Foerster, J.; Grefenstette, E.; and Rocktäschel, T. In ICML 2022, 2022.
link bibtex

@inproceedings{parker2022evolving,
  title={Evolving Curricula with Regret-Based Environment Design},
  author={Parker-Holder, Jack and Jiang, Minqi and Dennis, Michael and Samvelyan, Mikayel and Foerster, Jakob and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={ICML 2022},
  year={2022}
}

SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning. Matthews, M.; Samvelyan, M.; Parker-Holder, J.; Grefenstette, E.; and Rocktäschel, T. In ALOE 2022, 2022.
link bibtex

@inproceedings{matthews2022skillhack,
  title={SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning},
  author={Matthews, Michael and Samvelyan, Mikayel and Parker-Holder, Jack and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={ALOE 2022},
  year={2022}
}

A Study of Off-Policy Learning in Environments with Procedural Content Generation. Ehrenberg, A.; Kirk, R.; Jiang, M.; Grefenstette, E.; and Rocktäschel, T. In ALOE 2022, 2022.
link bibtex

@inproceedings{ehrenberg2022study,
  title={A Study of Off-Policy Learning in Environments with Procedural Content Generation},
  author={Ehrenberg, Andy and Kirk, Robert and Jiang, Minqi and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={ALOE 2022},
  year={2022}
}

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. Matthews, M.; Samvelyan, M.; Parker-Holder, J.; Grefenstette, E.; and Rocktäschel, T. In CoLLAs 2022, 2022.
link bibtex

@inproceedings{matthews2022hierarchical,
  title={Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning},
  author={Matthews, Michael and Samvelyan, Mikayel and Parker-Holder, Jack and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={CoLLAs 2022},
  year={2022}
}

GriddlyJS: A Web IDE for Reinforcement Learning. Bamford, C.; Jiang, M.; Samvelyan, M.; and Rocktäschel, T. In NeurIPS 2022 (Datasets and Benchmarks), 2022.
link bibtex

@inproceedings{bamford2022griddlyjs,
  title={GriddlyJS: A Web IDE for Reinforcement Learning},
  author={Bamford, Christopher and Jiang, Minqi and Samvelyan, Mikayel and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2022 (Datasets and Benchmarks)},
  year={2022}
}

Dungeons and Data: A Large-Scale NetHack Dataset. Hambro, E.; Raileanu, R.; Rothermel, D.; Mella, V.; Rocktäschel, T.; Kuttler, H.; and Murray, N. In NeurIPS 2022 (Datasets and Benchmarks), 2022.
link bibtex

@inproceedings{hambro2022dungeons,
  title={Dungeons and Data: A Large-Scale NetHack Dataset},
  author={Hambro, Eric and Raileanu, Roberta and Rothermel, Danielle and Mella, Vegard and Rockt{\"a}schel, Tim and Kuttler, Heinrich and Murray, Naila},
  booktitle={NeurIPS 2022 (Datasets and Benchmarks)},
  year={2022}
}

Learning General World Models in a Handful of Reward-Free Deployments. Parker-Holder, J.; Xu, Y.; J. Ball, P.; Pacchiano, A.; Rybkin, O.; Roberts, S. J.; Rocktäschel, T.; and Grefenstette, E. In NeurIPS 2022, 2022.
link bibtex

@inproceedings{parker2022learning,
  title={Learning General World Models in a Handful of Reward-Free Deployments},
  author={Parker-Holder, Jack and Xu, Yingchen and J. Ball, Philip and Pacchiano, Aldo and Rybkin, Oleh and Roberts, Stephen J. and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={NeurIPS 2022},
  year={2022}
}

Exploration via Elliptical Episodic Bonuses. Henaff, M.; Raileanu, R.; Jiang, M.; and Rocktäschel, T. In NeurIPS 2022, 2022.
link bibtex

@inproceedings{henaff2022exploration,
  title={Exploration via Elliptical Episodic Bonuses},
  author={Henaff, Mikael and Raileanu, Roberta and Jiang, Minqi and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2022},
  year={2022}
}

Improving Policy Learning via Language Dynamics Distillation. Zhong, V.; Mu, J.; Zettlemoyer, L.; Grefenstette, E.; and Rocktäschel, T. In NeurIPS 2022, 2022.
link bibtex

@inproceedings{zhong2022improving,
  title={Improving Policy Learning via Language Dynamics Distillation},
  author={Zhong, Victor and Mu, Jesse and Zettlemoyer, Luke and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2022},
  year={2022}
}

Large Language Models are not Zero-shot Communicators. Ruis, L.; Khan, A.; Biderman, S.; Hooker, S.; Rocktäschel, T.; and Grefenstette, E. arXiv preprint arXiv:2210.14986. 2022.
link bibtex

@article{ruis2022large,
  title={Large Language Models are not Zero-shot Communicators},
  author={Ruis, Laura and Khan, Akbir and Biderman, Stella and Hooker, Sara and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  journal={arXiv preprint arXiv:2210.14986},
  year={2022}
}

General Intelligence Requires Rethinking Exploration. Jiang, M.; Rocktäschel, T.; and Grefenstette, E. arXiv preprint arXiv:2211.07819. 2022.
link bibtex

@article{jiang2022general,
  title={General Intelligence Requires Rethinking Exploration},
  author={Jiang, Minqi and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  journal={arXiv preprint arXiv:2211.07819},
  year={2022}
}

2021 (13)

Learning with AMIGo: Adversarially Motivated Intrinsic Goals. Campero, A.; Raileanu, R.; Küttler, H.; Tenenbaum, J. B; Rocktäschel, T.; and Grefenstette, E. In ICLR 2021, 2021.
link bibtex

@inproceedings{campero2021learning,
  title={Learning with AMIGo: Adversarially Motivated Intrinsic Goals},
  author={Campero, Andres and Raileanu, Roberta and K{\"u}ttler, Heinrich and Tenenbaum, Joshua B and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={ICLR 2021},
  year={2021}
}

KILT: a Benchmark for Knowledge Intensive Language Tasks. Petroni, F.; Piktus, A.; Fan, A.; Lewis, P.; Yazdani, M.; De Cao, N.; Thorne, J.; Jernite, Y.; Plachouras, V.; Rocktäschel, T.; and others In NAACL-HLT 2021, 2021.
link bibtex

@inproceedings{petroni2021kilt,
  title={KILT: a Benchmark for Knowledge Intensive Language Tasks},
  author={Petroni, Fabio and Piktus, Aleksandra and Fan, Angela and Lewis, Patrick and Yazdani, Majid and De Cao, Nicola and Thorne, James and Jernite, Yacine and Plachouras, Vassilis and Rockt{\"a}schel, Tim and others},
  booktitle={NAACL-HLT 2021},
  year={2021}
}

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. Kurin, V.; Igl, M.; Rocktäschel, T.; Boehmer, W.; and Whiteson, S. In ICLR 2021, 2021.
link bibtex

@inproceedings{kurin2021my,
  title={My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control},
  author={Kurin, Vitaly and Igl, Maximilian and Rockt{\"a}schel, Tim and Boehmer, Wendelin and Whiteson, Shimon},
  booktitle={ICLR 2021},
  year={2021}
}

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. Ammanabrolu, P.; Urbanek, J.; Li, M.; Szlam, A.; Rocktäschel, T.; and Weston, J. In NAACL-HLT 2021, 2021.
link bibtex

@inproceedings{ammanabrolu2021motivate,
  title={How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds},
  author={Ammanabrolu, Prithviraj and Urbanek, Jack and Li, Margaret and Szlam, Arthur and Rockt{\"a}schel, Tim and Weston, Jason},
  booktitle={NAACL-HLT 2021},
  year={2021}
}

Prioritized Level Replay. Jiang, M.; Grefenstette, E.; and Rocktäschel, T. In ICML 2021, 2021.
link bibtex

@inproceedings{jiang2021prioritized,
  title={Prioritized Level Replay},
  author={Jiang, Minqi and Grefenstette, Ed and Rockt{\"a}schel, Tim},
  booktitle={ICML 2021},
  year={2021}
}

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. Jiang, Z.; Minervini, P.; Jiang, M.; and Rocktäschel, T. In AAMAS 2021, 2021.
link bibtex

@inproceedings{jiang2021grid,
  title={Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning},
  author={Jiang, Zhengyao and Minervini, Pasquale and Jiang, Minqi and Rockt{\"a}schel, Tim},
  booktitle={AAMAS 2021},
  year={2021}
}

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. Samvelyan, M.; Kirk, R.; Kurin, V.; Parker-Holder, J.; Jiang, M.; Hambro, E.; Petroni, F.; Kuttler, H.; Grefenstette, E.; and Rocktäschel, T. In NeurIPS 2021 (Datasets and Benchmarks), 2021.
link bibtex

@inproceedings{samvelyan2021minihack,
  title={MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research},
  author={Samvelyan, Mikayel and Kirk, Robert and Kurin, Vitaly and Parker-Holder, Jack and Jiang, Minqi and Hambro, Eric and Petroni, Fabio and Kuttler, Heinrich and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2021 (Datasets and Benchmarks)},
  year={2021}
}

Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. Rothermel, D.; Li, M.; Rocktäschel, T.; and Foerster, J. In ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception, 2021.
link bibtex

@inproceedings{rothermel2021don,
  title={Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers},
  author={Rothermel, Danielle and Li, Margaret and Rockt{\"a}schel, Tim and Foerster, Jakob},
  booktitle={ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception},
  year={2021}
}

Replay-Guided Adversarial Environment Design. Jiang, M.; Dennis, M. D; Parker-Holder, J.; Foerster, J. N.; Grefenstette, E.; and Rocktäschel, T. In NeurIPS 2021, 2021.
link bibtex

@inproceedings{jiang2021replay,
  title={Replay-Guided Adversarial Environment Design},
  author={Jiang, Minqi and Dennis, Michael D and Parker-Holder, Jack and Foerster, Jakob Nicolaus and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2021},
  year={2021}
}

Return Dispersion as an Estimator of Learning Potential for Prioritized Level Replay. Korshunova, I.; Jiang, M.; Parker-Holder, J.; Rocktäschel, T.; and Grefenstette, E. In DeepRL 2021, 2021.
link bibtex

@inproceedings{korshunova2021return,
  title={Return Dispersion as an Estimator of Learning Potential for Prioritized Level Replay},
  author={Korshunova, Iryna and Jiang, Minqi and Parker-Holder, Jack and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={DeepRL 2021},
  year={2021}
}

That Escalated Quickly: Compounding Complexity by Editing Levels at the Frontier of Agent Capabilities. Parker-Holder, J.; Jiang, M.; Dennis, M. D; Samvelyan, M.; Nicolaus Foerster, J.; Grefenstette, E.; and Rocktäschel, T. In DeepRL 2021, 2021.
link bibtex

@inproceedings{parker2021escalated,
  title={That Escalated Quickly: Compounding Complexity by Editing Levels at the Frontier of Agent Capabilities},
  author={Parker-Holder, Jack and Jiang, Minqi and Dennis, Michael D and Samvelyan, Mikayel and Nicolaus Foerster, Jakob and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={DeepRL 2021},
  year={2021}
}

Insights from the NeurIPS 2021 NetHack Challenge. Hambro, E.; Mohanty, S.; Babaev, D.; Byeon, M.; Chakraborty, D.; Grefenstette, E.; Jiang, M.; Jo, D.; Kanervisto, A.; Kim, J.; and others PMLR. 2021.
link bibtex

@article{hambro2021insights,
  title={Insights from the NeurIPS 2021 NetHack Challenge},
  author={Hambro, Eric and Mohanty, Sharada and Babaev, Dmitrii and Byeon, Minwoo and Chakraborty, Dipam and Grefenstette, Edward and Jiang, Minqi and Jo, Daejin and Kanervisto, Anssi and Kim, Jongmin and others},
  journal={PMLR},
  year={2021}
}

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. Jiang, Z.; Zhang, T.; Kirk, R.; Rocktäschel, T.; and Grefenstette, E. In DeepRL 2021, 2021.
link bibtex

@inproceedings{jiang2021graph,
  title={Graph Backup: Data Efficient Backup Exploiting Markovian Transitions},
  author={Jiang, Zhengyao and Zhang, Tianjun and Kirk, Robert and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={DeepRL 2021},
  year={2021}
}

2020 (11)

RTFM: Generalising to Novel Environment Dynamics via Reading. Zhong, V.; Rocktäschel, T.; and Grefenstette, E. In ICLR 2020, 2020.
link bibtex

@inproceedings{zhong2020rtfm,
  title={RTFM: Generalising to Novel Environment Dynamics via Reading},
  author={Zhong, Victor and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  booktitle={ICLR 2020},
  year={2020}
}

Differentiable Reasoning on Large Knowledge Bases and Natural Language. Minervini, P.; Bosnjak, M.; Rocktäschel, T.; Riedel, S.; and Grefenstette, E. In AAAI 2020 (Oral), 2020.
link bibtex

@inproceedings{minervini2020differentiable,
  title={Differentiable Reasoning on Large Knowledge Bases and Natural Language},
  author={Minervini, Pasquale and Bosnjak, Matko and Rockt{\"a}schel, Tim and Riedel, Sebastian and Grefenstette, Edward},
  booktitle={AAAI 2020 (Oral)},
  year={2020}
}

Generating Interactive Worlds with Text. Fan, A.; Urbanek, J.; Ringshia, P.; Dinan, E.; Qian, E.; Karamcheti, S.; Prabhumoye, S.; Kiela, D.; Rocktäschel, T.; Szlam, A.; and others In AAAI 2020, 2020.
link bibtex

@inproceedings{fan2020generating,
  title={Generating Interactive Worlds with Text},
  author={Fan, Angela and Urbanek, Jack and Ringshia, Pratik and Dinan, Emily and Qian, Emma and Karamcheti, Siddharth and Prabhumoye, Shrimai and Kiela, Douwe and Rockt{\"a}schel, Tim and Szlam, Arthur and others},
  booktitle={AAAI 2020},
  year={2020}
}

How Decoding Strategies Affect the Verifiability of Generated Text. Massarelli, L.; Petroni, F.; Piktus, A.; Ott, M.; Rocktäschel, T.; Plachouras, V.; Silvestri, F.; and Riedel, S. Findings of ACL: EMNLP 2020. 2020.
link bibtex

@article{massarelli2020decoding,
  title={How Decoding Strategies Affect the Verifiability of Generated Text},
  author={Massarelli, Luca and Petroni, Fabio and Piktus, Aleksandra and Ott, Myle and Rockt{\"a}schel, Tim and Plachouras, Vassilis and Silvestri, Fabrizio and Riedel, Sebastian},
  journal={Findings of ACL: EMNLP 2020},
  year={2020}
}

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. Raileanu, R.; and Rocktäschel, T. In ICLR 2020, 2020.
link bibtex

@inproceedings{raileanu2020ride,
  title={RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments},
  author={Raileanu, Roberta and Rockt{\"a}schel, Tim},
  booktitle={ICLR 2020},
  year={2020}
}

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. Stacey, J.; Minervini, P.; Dubossarsky, H.; Riedel, S.; and Rocktäschel, T. In EMNLP 2020, 2020.
link bibtex

@inproceedings{stacey2020avoiding,
  title={Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training},
  author={Stacey, Joe and Minervini, Pasquale and Dubossarsky, Haim and Riedel, Sebastian and Rockt{\"a}schel, Tim},
  booktitle={EMNLP 2020},
  year={2020}
}

The NetHack Learning Environment. Küttler, H.; Nardelli, N.; Miller, A.; Raileanu, R.; Selvatici, M.; Grefenstette, E.; and Rocktäschel, T. In NeurIPS 2020, 2020.
link bibtex

@inproceedings{kuttler2020nethack,
  title={The NetHack Learning Environment},
  author={K{\"u}ttler, Heinrich and Nardelli, Nantas and Miller, Alexander and Raileanu, Roberta and Selvatici, Marco and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={NeurIPS 2020},
  year={2020}
}

How Context Affects Language Models' Factual Predictions. Petroni, F.; Lewis, P.; Piktus, A.; Rocktäschel, T.; Wu, Y.; H. Miller, A.; and Riedel, S. In AKBC 2020 (Best Paper Award), 2020.
link bibtex

@inproceedings{petroni2020context,
  title={How Context Affects Language Models' Factual Predictions},
  author={Petroni, Fabio and Lewis, Patrick and Piktus, Aleksandra and Rockt{\"a}schel, Tim and Wu, Yuxiang and H. Miller, Alexander and Riedel, Sebastian},
  booktitle={AKBC 2020 (Best Paper Award)},
  year={2020}
}

Retrieval-augmented Generation for Knowledge-intensive NLP Tasks. Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.; Rocktäschel, T.; and others In NeurIPS 2020, 2020.
link bibtex

@inproceedings{lewis2020retrieval,
  title={Retrieval-augmented Generation for Knowledge-intensive NLP Tasks},
  author={Lewis, Patrick and Perez, Ethan and Piktus, Aleksandara and Petroni, Fabio and Karpukhin, Vladimir and Goyal, Naman and K{\"u}ttler, Heinrich and Lewis, Mike and Yih, Wen-tau and Rockt{\"a}schel, Tim and others},
  booktitle={NeurIPS 2020},
  year={2020}
}

Learning Reasoning Strategies in End-to-End Differentiable Proving. Minervini, P.; Riedel, S.; Stenetorp, P.; Grefenstette, E.; and Rocktäschel, T. In ICML 2020, 2020.
link bibtex

@inproceedings{minervini2020learning,
  title={Learning Reasoning Strategies in End-to-End Differentiable Proving},
  author={Minervini, Pasquale and Riedel, Sebastian and Stenetorp, Pontus and Grefenstette, Edward and Rockt{\"a}schel, Tim},
  booktitle={ICML 2020},
  year={2020}
}

WordCraft: An Environment for Benchmarking Commonsense Agents. Jiang, M.; Luketina, J.; Nardelli, N.; Minervini, P.; Torr, P.; Whiteson, S.; and Rocktäschel, T. In LaReL 2020, 2020.
link bibtex

@inproceedings{jiang2020wordcraft,
  title={WordCraft: An Environment for Benchmarking Commonsense Agents},
  author={Jiang, Minqi and Luketina, Jelena and Nardelli, Nantas and Minervini, Pasquale and Torr, Philip and Whiteson, Shimon and Rockt{\"a}schel, Tim},
  booktitle={LaReL 2020},
  year={2020}
}

2019 (10)

Stable Opponent Shaping in Differentiable Games. Letcher, A.; Foerster, J.; Balduzzi, D.; Rocktäschel, T.; and Whiteson, S. In ICLR 2019, 2019.
link bibtex

@inproceedings{letcher2019stable,
  title={Stable Opponent Shaping in Differentiable Games},
  author={Letcher, Alistair and Foerster, Jakob and Balduzzi, David and Rockt{\"a}schel, Tim and Whiteson, Shimon},
  booktitle={ICLR 2019},
  year={2019}
}

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. Weber, L.; Minervini, P.; Münchmeyer, J.; Leser, U.; and Rocktäschel, T. In ACL 2019, 2019.
link bibtex

@inproceedings{weber2019nlprolog,
  title={NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language},
  author={Weber, Leon and Minervini, Pasquale and M{\"u}nchmeyer, Jannes and Leser, Ulf and Rockt{\"a}schel, Tim},
  booktitle={ACL 2019},
  year={2019}
}

Learning to Speak and Act in a Fantasy Text Adventure Game. Urbanek, J.; Fan, A.; Karamcheti, S.; Jain, S.; Humeau, S.; Dinan, E.; Rocktäschel, T.; Kiela, D.; Szlam, A.; and Weston, J. In EMNLP 2019, 2019.
link bibtex

@inproceedings{urbanek2019learning,
  title={Learning to Speak and Act in a Fantasy Text Adventure Game},
  author={Urbanek, Jack and Fan, Angela and Karamcheti, Siddharth and Jain, Saachi and Humeau, Samuel and Dinan, Emily and Rockt{\"a}schel, Tim and Kiela, Douwe and Szlam, Arthur and Weston, Jason},
  booktitle={EMNLP 2019},
  year={2019}
}

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. Mao, J.; Foerster, J.; Rocktäschel, T.; Al-Shedivat, M.; Farquhar, G.; and Whiteson, S. In ICML 2019, 2019.
link bibtex

@inproceedings{mao2019baseline,
  title={A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs},
  author={Mao, Jingkai and Foerster, Jakob and Rockt{\"a}schel, Tim and Al-Shedivat, Maruan and Farquhar, Gregory and Whiteson, Shimon},
  booktitle={ICML 2019},
  year={2019}
}

A Survey of Reinforcement Learning Informed by Natural Language. Luketina, J; Nardelli, N; Farquhar, G; Foerster, J; Andreas, J; Grefenstette, E; Whiteson, S; and Rocktäschel, T In IJCAI 2019, 2019.
link bibtex

@inproceedings{luketina2019survey,
  title={A Survey of Reinforcement Learning Informed by Natural Language},
  author={Luketina, J and Nardelli, N and Farquhar, G and Foerster, J and Andreas, J and Grefenstette, E and Whiteson, S and Rockt{\"a}schel, T},
  booktitle={IJCAI 2019},
  year={2019}
}

HUNER: Improving Biomedical NER with Pretraining. Weber, L.; Münchmeyer, J.; Rocktäschel, T.; Habibi, M.; and Leser, U. Bioinformatics. 2019.
link bibtex

@article{weber2019huner,
  title={HUNER: Improving Biomedical NER with Pretraining},
  author={Weber, Leon and M{\"u}nchmeyer, Jannes and Rockt{\"a}schel, Tim and Habibi, Maryam and Leser, Ulf},
  journal={Bioinformatics},
  year={2019}
}

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. Cowen-Rivers, A. I; Minervini, P.; Rocktaschel, T.; Bovsnjak, M.; Riedel, S.; and Wang, J. NeSy 2019. 2019.
link bibtex

@article{cowen2019neural,
  title={Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings},
  author={Cowen-Rivers, Alexander I and Minervini, Pasquale and Rocktaschel, Tim and Bovsnjak, Matko and Riedel, Sebastian and Wang, Jun},
  journal={NeSy 2019},
  year={2019}
}

Language Models as Knowledge Bases?. Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H; and Riedel, S. In EMNLP 2019, 2019.
link bibtex

@inproceedings{petroni2019language,
  title={Language Models as Knowledge Bases?},
  author={Petroni, Fabio and Rockt{\"a}schel, Tim and Lewis, Patrick and Bakhtin, Anton and Wu, Yuxiang and Miller, Alexander H and Riedel, Sebastian},
  booktitle={EMNLP 2019},
  year={2019}
}

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. Sivakumar, V.; Delalleau, O.; Rocktäschel, T.; Miller, A. H.; Küttler, H.; Nardelli, N.; Rabbat, M.; Pineau, J.; and Riedel, S. In ML for Systems 2019, 2019.
link bibtex

@inproceedings{sivakumar2019mvfst,
  title={MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions},
  author={Sivakumar, Viswanath and Delalleau, Olivier and Rockt{\"a}schel, Tim and Miller, Alexander H. and K{\"u}ttler, Heinrich and Nardelli, Nantas and Rabbat, Mike and Pineau, Joelle and Riedel, Sebastian},
  booktitle={ML for Systems 2019},
  year={2019}
}

TorchBeast: A PyTorch Platform for Distributed RL. Küttler, H.; Nardelli, N.; Lavril, T.; Selvatici, M.; Sivakumar, V.; Rocktäschel, T.; and Grefenstette, E. 2019.
link bibtex

@misc{kuttler2019torchbeast,
  title={TorchBeast: A PyTorch Platform for Distributed RL},
  author={K{\"u}ttler, Heinrich and Nardelli, Nantas and Lavril, Thibaut and Selvatici, Marco and Sivakumar, Viswanath and Rockt{\"a}schel, Tim and Grefenstette, Edward},
  journal={Technical Report arXiv:1910.03552},
  year={2019}
}

2018 (6)

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. Farquhar, G.; Rocktäschel, T.; Igl, M.; and Whiteson, S. In ICLR 2018, 2018.
link bibtex

@inproceedings{farquhar2018treeqn,
  title={TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning},
  author={Farquhar, Gregory and Rockt{\"a}schel, Tim and Igl, Maximilian and Whiteson, Shimon},
  booktitle={ICLR 2018},
  year={2018}
}

DiCE: The Infinitely Differentiable Monte-Carlo Estimator. Foerster, J.; Farquhar, G.; Al-Shedivat, M.; Rocktäschel, T.; Xing, E. P; and Whiteson, S. In ICML 2018, 2018.
link bibtex

@inproceedings{foerster2018dice,
  title={DiCE: The Infinitely Differentiable Monte-Carlo Estimator},
  author={Foerster, Jakob and Farquhar, Gregory and Al-Shedivat, Maruan and Rockt{\"a}schel, Tim and Xing, Eric P and Whiteson, Shimon},
  booktitle={ICML 2018},
  year={2018}
}

Jack the Reader-A Machine Reading Framework. Weissenborn, D.; Minervini, P.; Dettmers, T.; Augenstein, I.; Welbl, J.; Rocktäschel, T.; Bošnjak, M.; Mitchell, J.; Demeester, T.; Stenetorp, P.; and others In ACL 2018 Demo, 2018.
link bibtex

@inproceedings{weissenborn2018jack,
  title={Jack the Reader-A Machine Reading Framework},
  author={Weissenborn, Dirk and Minervini, Pasquale and Dettmers, Tim and Augenstein, Isabelle and Welbl, Johannes and Rockt{\"a}schel, Tim and Bo{\v{s}}njak, Matko and Mitchell, Jeff and Demeester, Thomas and Stenetorp, Pontus and others},
  booktitle={ACL 2018 Demo},
  year={2018}
}

Interpretation of Natural Language Rules in Conversational Machine Reading. Saeidi, M.; Bartolo, M.; Lewis, P.; Singh, S.; Rocktäschel, T.; Sheldon, M.; Bouchard, G.; and Riedel, S. In EMNLP 2018, 2018.
link bibtex

@inproceedings{saeidi2018interpretation,
  title={Interpretation of Natural Language Rules in Conversational Machine Reading},
  author={Saeidi, Marzieh and Bartolo, Max and Lewis, Patrick and Singh, Sameer and Rockt{\"a}schel, Tim and Sheldon, Mike and Bouchard, Guillaume and Riedel, Sebastian},
  booktitle={EMNLP 2018},
  year={2018}
}

e-SNLI: Natural Language Inference with Natural Language Explanations. Camburu, O.; Rocktäschel, T.; Lukasiewicz, T.; and Blunsom, P. In NeurIPS 2018, 2018.
link bibtex

@inproceedings{camburu2018snli,
  title={e-SNLI: Natural Language Inference with Natural Language Explanations},
  author={Camburu, Oana-Maria and Rockt{\"a}schel, Tim and Lukasiewicz, Thomas and Blunsom, Phil},
  booktitle={NeurIPS 2018},
  year={2018}
}

Towards Neural Theorem Proving at Scale. Minervini, P.; Bosnjak, M.; Rocktäschel, T.; and Riedel, S. In NAMPI 2018, 2018.
link bibtex

@inproceedings{minervini2018towards,
  title={Towards Neural Theorem Proving at Scale},
  author={Minervini, Pasquale and Bosnjak, Matko and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={NAMPI 2018},
  year={2018}
}

2017 (5)

Programming with a Differentiable Forth Interpreter. Bošnjak, M.; Rocktäschel, T.; Naradowsky, J.; and Riedel, S. In ICML 2017, 2017.
link bibtex

@inproceedings{bovsnjak2017programming,
  title={Programming with a Differentiable Forth Interpreter},
  author={Bo{\v{s}}njak, Matko and Rockt{\"a}schel, Tim and Naradowsky, Jason and Riedel, Sebastian},
  booktitle={ICML 2017},
  year={2017}
}

Frustratingly Short Attention Spans in Neural Language Modeling. Daniluk, M.; Rocktäschel, T.; Welbl, J.; and Riedel, S. In ICLR 2017, 2017.
link bibtex

@inproceedings{daniluk2017frustratingly,
  title={Frustratingly Short Attention Spans in Neural Language Modeling},
  author={Daniluk, Micha{\l} and Rockt{\"a}schel, Tim and Welbl, Johannes and Riedel, Sebastian},
  booktitle={ICLR 2017},
  year={2017}
}

End-to-End Differentiable Proving. Rocktäschel, T.; and Riedel, S. In NeurIPS 2017 (Oral), 2017.
link bibtex

@inproceedings{rocktaschel2017end,
  title={End-to-End Differentiable Proving},
  author={Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={NeurIPS 2017 (Oral)},
  year={2017}
}

Adversarial Sets for Regularising Neural Link Predictors. Minervini, P.; Demeester, T.; Rocktäschel, T.; and Riedel, S. In UAI 2017, 2017.
link bibtex

@inproceedings{minervini2017adversarial,
  title={Adversarial Sets for Regularising Neural Link Predictors},
  author={Minervini, Pasquale and Demeester, Thomas and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={UAI 2017},
  year={2017}
}

Combining Representation Learning with Logic for Language Processing. Rocktäschel, T. 2017.
link bibtex

@misc{rocktaschel2017combining,
  title={Combining Representation Learning with Logic for Language Processing},
  author={Rockt{\"a}schel, Tim},
  journal={Ph.D. Thesis. University College London},
  year={2017}
}

2016 (10)

Reasoning about Entailment with Neural Attention. Rocktäschel, T.; Grefenstette, E.; Hermann, K. M.; Kočiskỳ, Tomáš; and Blunsom, P. In ICLR 2016, 2016.
link bibtex

@inproceedings{rocktaschel2016reasoning,
  title={Reasoning about Entailment with Neural Attention},
  author={Rockt{\"a}schel, Tim and Grefenstette, Edward and Hermann, Karl Moritz and Ko{\v{c}}isk{\`y}, Tom{\'a}{\v{s}} and Blunsom, Phil},
  booktitle={ICLR 2016},
  year={2016}
}

Learning Knowledge Base Inference with Neural Theorem Provers. Rocktäschel, T.; and Riedel, S. In AKBC 2016, 2016.
link bibtex

@inproceedings{rocktaschel2016learning,
  title={Learning Knowledge Base Inference with Neural Theorem Provers},
  author={Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={AKBC 2016},
  year={2016}
}

Regularizing Relation Representations by First-order Implications. Demeester, T.; Rocktäschel, T.; and Riedel, S. In AKBC 2016, 2016.
link bibtex

@inproceedings{demeester2016regularizing,
  title={Regularizing Relation Representations by First-order Implications},
  author={Demeester, Thomas and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={AKBC 2016},
  year={2016}
}

SETH Detects and Normalizes Genetic Variants in Text. Thomas, P.; Rocktäschel, T.; Hakenberg, J.; Lichtblau, Y.; and Leser, U. Bioinformatics. 2016.
link bibtex

@article{thomas2016seth,
  title={SETH Detects and Normalizes Genetic Variants in Text},
  author={Thomas, Philippe and Rockt{\"a}schel, Tim and Hakenberg, J{\"o}rg and Lichtblau, Yvonne and Leser, Ulf},
  journal={Bioinformatics},
  year={2016}
}

Generating Natural Language Inference Chains. Kolesnyk, V.; Rocktäschel, T.; and Riedel, S. Technical Report arXiv:1606.01404. 2016.
link bibtex

@article{kolesnyk2016generating,
  title={Generating Natural Language Inference Chains},
  author={Kolesnyk, Vladyslav and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  journal={Technical Report arXiv:1606.01404},
  year={2016}
}

MuFuRU: The Multi-Function Recurrent Unit. Weissenborn, D.; and Rocktäschel, T. In RepL4NLP 2016, 2016.
link bibtex

@inproceedings{weissenborn2016mufuru,
  title={MuFuRU: The Multi-Function Recurrent Unit},
  author={Weissenborn, Dirk and Rockt{\"a}schel, Tim},
  booktitle={RepL4NLP 2016},
  year={2016}
}

Stance Detection with Bidirectional Conditional Encoding. Augenstein, I.; Rocktäschel, T.; Vlachos, A.; and Bontcheva, K. In EMNLP 2016, 2016.
link bibtex

@inproceedings{augenstein2016stance,
  title={Stance Detection with Bidirectional Conditional Encoding},
  author={Augenstein, Isabelle and Rockt{\"a}schel, Tim and Vlachos, Andreas and Bontcheva, Kalina},
  booktitle={EMNLP 2016},
  year={2016}
}

Lifted Rule Injection for Relation Embeddings. Demeester, T.; Rocktäschel, T.; and Riedel, S. In EMNLP 2016, 2016.
link bibtex

@inproceedings{demeester2016lifted,
  title={Lifted Rule Injection for Relation Embeddings},
  author={Demeester, Thomas and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={EMNLP 2016},
  year={2016}
}

emoji2vec: Learning Emoji Representations from their Description. Eisner, B.; Rocktäschel, T.; Augenstein, I.; Bošnjak, M.; and Riedel, S. 2016.
link bibtex

@misc{eisner2016emoji2vec,
  title={emoji2vec: Learning Emoji Representations from their Description},
  author={Eisner, Ben and Rockt{\"a}schel, Tim and Augenstein, Isabelle and Bo{\v{s}}njak, Matko and Riedel, Sebastian},
  journal={SocialNLP 2016 (Best Paper Award)},
  year={2016}
}

Learning Python Code Suggestion with a Sparse Pointer Network. Bhoopchand, A.; Rocktäschel, T.; Barr, E.; and Riedel, S. 2016.
link bibtex

@misc{bhoopchand2016learning,
  title={Learning Python Code Suggestion with a Sparse Pointer Network},
  author={Bhoopchand, Avishkar and Rockt{\"a}schel, Tim and Barr, Earl and Riedel, Sebastian},
  journal={Technical Report arXiv:1611.08307},
  year={2016}
}

2015 (7)

The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles. Krallinger, M.; Rabal, O.; Leitner, F.; Vazquez, M.; Salgado, D.; Lu, Z.; Leaman, R.; Lu, Y.; Ji, D.; Lowe, D. M; and others Journal of Cheminformatics. 2015.
link bibtex

@article{krallinger2015chemdner,
  title={The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles},
  author={Krallinger, Martin and Rabal, Obdulia and Leitner, Florian and Vazquez, Miguel and Salgado, David and Lu, Zhiyong and Leaman, Robert and Lu, Yanan and Ji, Donghong and Lowe, Daniel M and others},
  journal={Journal of Cheminformatics},
  year={2015}
}

Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. Sánchez, I.; Rocktäschel, T.; Riedel, S.; and Singh, S. KRR 2015. 2015.
link bibtex

@article{sanchez2015towards,
  title={Towards Extracting Faithful and Descriptive Representations of Latent Variable Models},
  author={S{\'a}nchez, Iv{\'a}n and Rockt{\"a}schel, Tim and Riedel, Sebastian and Singh, Sameer},
  journal={KRR 2015},
  year={2015}
}

Injecting Logical Background Knowledge into Embeddings for Relation Extraction. Rocktäschel, T.; Singh, S.; and Riedel, S. In NAACL 2015, 2015.
link bibtex

@inproceedings{rocktaschel2015injecting,
  title={Injecting Logical Background Knowledge into Embeddings for Relation Extraction},
  author={Rockt{\"a}schel, Tim and Singh, Sameer and Riedel, Sebastian},
  booktitle={NAACL 2015},
  year={2015}
}

Matrix and Tensor Factorization Methods for Natural Language Processing. Bouchard, G.; Naradowsky, J.; Riedel, S.; Rocktäschel, T.; and Vlachos, A. 2015.
link bibtex

@misc{bouchard2015matrix,
  title={Matrix and Tensor Factorization Methods for Natural Language Processing},
  author={Bouchard, Guillaume and Naradowsky, Jason and Riedel, Sebastian and Rockt{\"a}schel, Tim and Vlachos, Andreas},
  journal={ACL 2015 Tutorial},
  year={2015}
}

WOLFE: An NLP-friendly Declarative Machine Learning Stack. Singh, S.; Rocktäschel, T.; Hewitt, L.; Naradowsky, J.; and Riedel, S. In NAACL 2015 Demo, 2015.
link bibtex

@inproceedings{singh2015wolfe,
  title={WOLFE: An NLP-friendly Declarative Machine Learning Stack},
  author={Singh, Sameer and Rockt{\"a}schel, Tim and Hewitt, Luke and Naradowsky, Jason and Riedel, Sebastian},
  booktitle={NAACL 2015 Demo},
  year={2015}
}

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. Singh, S.; Rocktäschel, T.; and Riedel, S. In VSM 2015, 2015.
link bibtex

@inproceedings{singh2015towards,
  title={Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction},
  author={Singh, Sameer and Rockt{\"a}schel, Tim and Riedel, Sebastian},
  booktitle={VSM 2015},
  year={2015}
}

Towards Two-way Interaction with Reading Machines. Riedel, S.; Singh, S.; Bouchard, G.; Rocktäschel, T.; and Sanchez, I. In SLSP 2015, 2015.
link bibtex

@inproceedings{riedel2015towards,
  title={Towards Two-way Interaction with Reading Machines},
  author={Riedel, Sebastian and Singh, Sameer and Bouchard, Guillaume and Rockt{\"a}schel, Tim and Sanchez, Ivan},
  booktitle={SLSP 2015},
  year={2015}
}

2014 (3)

Low-Dimensional Embeddings of Logic. Rocktäschel, T.; Bosnjak, M.; Singh, S.; and Riedel, S. In SP 2014 (Exceptional Submission Award), 2014.
link bibtex

@inproceedings{rocktaschel2014low,
  title={Low-Dimensional Embeddings of Logic},
  author={Rockt{\"a}schel, Tim and Bosnjak, Matko and Singh, Sameer and Riedel, Sebastian},
  booktitle={SP 2014 (Exceptional Submission Award)},
  year={2014}
}

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. Riedel, S. R.; Singh, S.; Srikumar, V.; Rocktäschel, T.; Visengeriyeva, L.; and Noessner, J. In StarAI 2014, 2014.
link bibtex

@inproceedings{riedel2014wolfe,
  title={WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.},
  author={Riedel, Sebastian Robert and Singh, Sameer and Srikumar, Vivek and Rockt{\"a}schel, Tim and Visengeriyeva, Larysa and Noessner, Jan},
  booktitle={StarAI 2014},
  year={2014}
}

Designing an IDE for Probabilistic Programming: Challenges and a Prototype. Singh, S.; Riedel, S.; Hewitt, L.; and Rocktäschel, T. In ProbProg 2014, 2014.
link bibtex

@inproceedings{singh2014designing,
  title={Designing an IDE for Probabilistic Programming: Challenges and a Prototype},
  author={Singh, Sameer and Riedel, Sebastian and Hewitt, Luke and Rockt{\"a}schel, Tim},
  booktitle={ProbProg 2014},
  year={2014}
}

2013 (3)

WBI-DDI: Drug-drug Interaction Extraction using Majority Voting. Thomas, P.; Neves, M.; Rocktäschel, T.; and Leser, U. In SemEval 2013, 2013.
link bibtex

@inproceedings{thomas2013wbi,
  title={WBI-DDI: Drug-drug Interaction Extraction using Majority Voting},
  author={Thomas, Philippe and Neves, Mariana and Rockt{\"a}schel, Tim and Leser, Ulf},
  booktitle={SemEval 2013},
  year={2013}
}

WBI-NER: The Impact of Domain-specific Features on the Performance of Identifying and Classifying Mentions of Drugs. Rocktäschel, T.; Huber, T.; Weidlich, M.; and Leser, U. SemEval 2013. 2013.
link bibtex

@article{rocktaschel2013wbi,
  title={WBI-NER: The Impact of Domain-specific Features on the Performance of Identifying and Classifying Mentions of Drugs},
  author={Rockt{\"a}schel, Tim and Huber, Torsten and Weidlich, Michael and Leser, Ulf},
  journal={SemEval 2013},
  year={2013}
}

Extended Feature Set for Chemical Named Entity Recognition and Indexing. Huber, T.; Rocktäschel, T.; Weidlich, M.; Thomas, P.; and Leser, U. BioCreative 2013. 2013.
link bibtex

@article{huber2013extended,
  title={Extended Feature Set for Chemical Named Entity Recognition and Indexing},
  author={Huber, Torsten and Rockt{\"a}schel, Tim and Weidlich, Michael and Thomas, Philippe and Leser, Ulf},
  journal={BioCreative 2013},
  year={2013}
}

2012 (1)

ChemSpot: a Hybrid System for Chemical Named Entity Recognition. Rocktäschel, T.; Weidlich, M.; and Leser, U. Bioinformatics. 2012.
link bibtex

@article{rocktaschel2012chemspot,
  title={ChemSpot: a Hybrid System for Chemical Named Entity Recognition},
  author={Rockt{\"a}schel, Tim and Weidlich, Michael and Leser, Ulf},
  journal={Bioinformatics},
  year={2012}
}