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06/18/2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
With the growing interest in large language models, the need for evaluat...
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05/31/2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a s...
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05/26/2023
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing
The sliding window approach provides an elegant way to handle contexts o...
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04/24/2023
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Instruction fine-tuned language models on a collection of instruction an...
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03/01/2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Many information retrieval tasks require large labeled datasets for fine...
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01/23/2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
The field of Question Answering (QA) has made remarkable progress in rec...
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12/02/2022
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Neural information retrieval (IR) systems have progressed rapidly in rec...
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10/15/2022
A Closer Look at the Calibration of Differentially Private Learners
We systematically study the calibration of classifiers trained with diff...
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04/20/2022
Synthetic Target Domain Supervision for Open Retrieval QA
Neural passage retrieval is a new and promising approach in open retriev...
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01/15/2022
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Knowledge Base Question Answering (KBQA) tasks that involve complex reas...
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12/15/2021
DocAMR: Multi-Sentence AMR Representation and Evaluation
Despite extensive research on parsing of English sentences into Abstract...
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12/15/2021
Learning to Transpile AMR into SPARQL
We propose a transition-based system to transpile Abstract Meaning Repre...
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12/14/2021
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
AMR parsing has experienced an unprecendented increase in performance in...
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10/29/2021
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Predicting linearized Abstract Meaning Representation (AMR) graphs using...
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09/28/2021
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Knowledge Base Question Answering (KBQA) tasks that in-volve complex rea...
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09/16/2021
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion
Recent interest in Knowledge Base Completion (KBC) has led to a plethora...
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02/03/2021
Bootstrapping Multilingual AMR with Contextual Word Alignments
We develop high performance multilingualAbstract Meaning Representation ...
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12/03/2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
Knowledge base question answering (KBQA) is an important task in Natural...
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12/02/2020
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training
End-to-end question answering (QA) requires both information retrieval (...
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10/20/2020
Pushing the Limits of AMR Parsing with Self-Learning
Abstract Meaning Representation (AMR) parsing has experienced a notable ...
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10/12/2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
Transfer learning techniques are particularly useful in NLP tasks where ...
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09/16/2020
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
Knowledgebase question answering systems are heavily dependent on relati...
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05/18/2020
GPT-too: A language-model-first approach for AMR-to-text generation
Abstract Meaning Representations (AMRs) are broad-coverage sentence-leve...
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11/08/2019
The TechQA Dataset
We introduce TechQA, a domain-adaptation question answering dataset for ...
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11/05/2019
Heuristics for Interpretable Knowledge Graph Contextualization
In this paper, we introduce the problem of knowledge graph contextualiza...
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10/30/2019
Ensembling Strategies for Answering Natural Questions
Many of the top question answering systems today utilize ensembling to i...
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09/11/2019
Frustratingly Easy Natural Question Answering
Existing literature on Question Answering (QA) mostly focuses on algorit...
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08/16/2019
CFO: A Framework for Building Production NLP Systems
This paper introduces a novel orchestration framework, called CFO (COMPU...
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05/31/2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Our work involves enriching the Stack-LSTM transition-based AMR parser (...
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11/10/2009
