research
∙
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...
share
research
∙
04/24/2023
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Instruction fine-tuned language models on a collection of instruction an...
research
∙
03/01/2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Many information retrieval tasks require large labeled datasets for fine...
research
∙
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...
research
∙
12/02/2022
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Neural information retrieval (IR) systems have progressed rapidly in rec...
research
∙
06/16/2022
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions
Recent machine reading comprehension datasets include extractive and boo...
research
∙
05/15/2022
Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering
Machine learning models are prone to overfitting their source (training)...
research
∙
05/03/2022
Inducing and Using Alignments for Transition-based AMR Parsing
Transition-based parsers for Abstract Meaning Representation (AMR) rely ...
research
∙
04/20/2022
Synthetic Target Domain Supervision for Open Retrieval QA
Neural passage retrieval is a new and promising approach in open retriev...
research
∙
02/26/2022
A Generative Model for Relation Extraction and Classification
Relation extraction (RE) is an important information extraction task whi...
research
∙
12/15/2021
DocAMR: Multi-Sentence AMR Representation and Evaluation
Despite extensive research on parsing of English sentences into Abstract...
research
∙
12/15/2021
Learning to Transpile AMR into SPARQL
We propose a transition-based system to transpile Abstract Meaning Repre...
research
∙
12/14/2021
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
AMR parsing has experienced an unprecendented increase in performance in...
research
∙
12/14/2021
Do Answers to Boolean Questions Need Explanations? Yes
Existing datasets that contain boolean questions, such as BoolQ and TYDI...
research
∙
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...
research
∙
05/07/2021
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
Existing models on Machine Reading Comprehension (MRC) require complex m...
research
∙
04/29/2021
AMR Parsing with Action-Pointer Transformer
Abstract Meaning Representation parsing is a sentence-to-graph predictio...
research
∙
02/03/2021
Bootstrapping Multilingual AMR with Contextual Word Alignments
We develop high performance multilingualAbstract Meaning Representation ...
research
∙
12/10/2020
Multilingual Transfer Learning for QA Using Translation as Data Augmentation
Prior work on multilingual question answering has mostly focused on usin...
research
∙
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 (...
research
∙
10/20/2020
Pushing the Limits of AMR Parsing with Self-Learning
Abstract Meaning Representation (AMR) parsing has experienced a notable ...
research
∙
10/20/2020
Transition-based Parsing with Stack-Transformers
Modeling the parser state is key to good performance in transition-based...
research
∙
10/16/2020
Cross-Lingual Relation Extraction with Transformers
Relation extraction (RE) is one of the most important tasks in informati...
research
∙
10/12/2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
Transfer learning techniques are particularly useful in NLP tasks where ...
research
∙
09/15/2020
Cascaded Models for Better Fine-Grained Named Entity Recognition
Named Entity Recognition (NER) is an essential precursor task for many n...
research
∙
09/15/2020
Event Presence Prediction Helps Trigger Detection Across Languages
The task of event detection and classification is central to most inform...
research
∙
05/18/2020
GPT-too: A language-model-first approach for AMR-to-text generation
Abstract Meaning Representations (AMRs) are broad-coverage sentence-leve...
research
∙
11/19/2019
Towards Lingua Franca Named Entity Recognition with BERT
Information extraction is an important task in NLP, enabling the automat...
research
∙
11/08/2019
The TechQA Dataset
We introduce TechQA, a domain-adaptation question answering dataset for ...
research
∙
10/31/2019
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
Relation extraction (RE) seeks to detect and classify semantic relations...
research
∙
10/30/2019
Ensembling Strategies for Answering Natural Questions
Many of the top question answering systems today utilize ensembling to i...
research
∙
09/11/2019
Frustratingly Easy Natural Question Answering
Existing literature on Question Answering (QA) mostly focuses on algorit...
research
∙
08/16/2019
CFO: A Framework for Building Production NLP Systems
This paper introduces a novel orchestration framework, called CFO (COMPU...
research
∙
05/31/2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Our work involves enriching the Stack-LSTM transition-based AMR parser (...
research
∙
09/06/2018
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Multi-hop reading comprehension focuses on one type of factoid question,...
research
∙
06/26/2018
Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking
We propose an entity-centric neural cross-lingual coreference model that...
research
∙
12/05/2017
Neural Cross-Lingual Entity Linking
A major challenge in Entity Linking (EL) is making effective use of cont...
research
∙
12/05/2017
One for All: Towards Language Independent Named Entity Linking
Entity linking (EL) is the task of disambiguating mentions in text by as...
research
∙
07/08/2017
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
The state-of-the-art named entity recognition (NER) systems are supervis...
research
∙
07/08/2017
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
The state-of-the-art named entity recognition (NER) systems are statisti...
research
∙
07/04/2017
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Slot Filling (SF) aims to extract the values of certain types of attribu...
research
∙
03/13/2017
Reinforcement Learning for Transition-Based Mention Detection
This paper describes an application of reinforcement learning to the men...
research
∙
02/13/2017
Bilateral Multi-Perspective Matching for Natural Language Sentences
Natural language sentence matching is a fundamental technology for a var...
research
∙
12/13/2016
Multi-Perspective Context Matching for Machine Comprehension
Previous machine comprehension (MC) datasets are either too small to tra...
research
∙
06/24/2016
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
We consider the problem of using sentence compression techniques to faci...
research
∙
02/24/2016
