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07/23/2023
On the Effectiveness of Offline RL for Dialogue Response Generation
A common training technique for language models is teacher forcing (TF)....
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05/15/2022
Long-term Control for Dialogue Generation: Methods and Evaluation
Current approaches for controlling dialogue response generation are prim...
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05/02/2022
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
We introduce Wav2Seq, the first self-supervised approach to pre-train bo...
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05/25/2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Professional summaries are written with document-level information, such...
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04/15/2021
Planning with Entity Chains for Abstractive Summarization
Pre-trained transformer-based sequence-to-sequence models have become th...
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10/06/2020
Stepwise Extractive Summarization and Planning with Structured Transformers
We propose encoder-centric stepwise models for extractive summarization ...
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10/01/2020
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
In this paper, we report the results of our participation in the TREC-CO...
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05/13/2020
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. C...
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05/02/2020
On Faithfulness and Factuality in Abstractive Summarization
It is well known that the standard likelihood training and approximate d...
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04/29/2020
Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation
Deep neural scoring models have recently been shown to improve ranking q...
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04/23/2020
QURIOUS: Question Generation Pretraining for Text Generation
Recent trends in natural language processing using pretraining have shif...
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06/13/2019
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Network Embedding (NE) methods, which map network nodes to low-dimension...
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09/15/2018
AUEB at BioASQ 6: Document and Snippet Retrieval
We present AUEB's submissions to the BioASQ 6 document and snippet retri...
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09/05/2018
Deep Relevance Ranking Using Enhanced Document-Query Interactions
We explore several new models for document relevance ranking, building u...
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05/21/2018
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
The rise of neural networks, and particularly recurrent neural networks,...
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08/01/2017
Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve ...
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03/21/2016
Static and Dynamic Feature Selection in Morphosyntactic Analyzers
We study the use of greedy feature selection methods for morphosyntactic...
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12/16/2015