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06/07/2023
From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation
Entailment Graphs (EGs) have been constructed based on extracted corpora...
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06/01/2023
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
The multi-answer phenomenon, where a question may have multiple answers ...
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05/30/2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Causal reasoning, the ability to identify cause-and-effect relationship,...
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05/28/2023
More than Classification: A Unified Framework for Event Temporal Relation Extraction
Event temporal relation extraction (ETRE) is usually formulated as a mul...
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05/24/2023
Lawyer LLaMA Technical Report
Large Language Models (LLMs), like LLaMA, have exhibited remarkable perf...
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05/08/2023
A Frustratingly Easy Improvement for Position Embeddings via Random Padding
Position embeddings, encoding the positional relationships among tokens ...
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04/18/2023
Generalized Implicit Factorization Problem
The Implicit Factorization Problem was first introduced by May and Ritze...
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03/02/2023
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Large pre-trained language models help to achieve state of the art on a ...
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02/26/2023
Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
Although many large-scale knowledge bases (KBs) claim to contain multili...
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10/31/2022
Do Charge Prediction Models Learn Legal Theory?
The charge prediction task aims to predict the charge for a case given i...
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10/20/2022
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
People can acquire knowledge in an unsupervised manner by reading, and c...
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05/04/2022
Improve Discourse Dependency Parsing with Contextualized Representations
Recent works show that discourse analysis benefits from modeling intra- ...
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04/17/2022
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED
DocRED is a widely used dataset for document-level relation extraction. ...
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04/07/2022
Entailment Graph Learning with Textual Entailment and Soft Transitivity
Typed entailment graphs try to learn the entailment relations between pr...
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03/21/2022
On Rangasamy's outsourcing algorithm for solving quadratic congruence equations
Outsourcing computation is a desired approach for IoT (Internet of Thing...
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03/15/2022
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals
Spatial commonsense, the knowledge about spatial position and relationsh...
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09/11/2021
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension
In this paper, we present a new verification style reading comprehension...
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06/03/2021
Exploring Distantly-Labeled Rationales in Neural Network Models
Recent studies strive to incorporate various human rationales into neura...
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06/03/2021
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
Document-level Relation Extraction (RE) is a more challenging task than ...
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06/02/2021
Why Machine Reading Comprehension Models Learn Shortcuts?
Recent studies report that many machine reading comprehension (MRC) mode...
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04/19/2021
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Causal inference is the process of capturing cause-effect relationship a...
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04/15/2021
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
Chinese pre-trained language models usually process text as a sequence o...
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11/29/2020
Latent Template Induction with Gumbel-CRFs
Learning to control the structure of sentences is a challenging problem ...
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11/02/2020
Exploring Question-Specific Rewards for Generating Deep Questions
Recent question generation (QG) approaches often utilize the sequence-to...
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06/23/2020
Domain Adaptation for Semantic Parsing
Recently, semantic parsing has attracted much attention in the community...
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05/12/2020
Neighborhood Matching Network for Entity Alignment
Structural heterogeneity between knowledge graphs is an outstanding chal...
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04/27/2020
Semantic Graphs for Generating Deep Questions
This paper proposes the problem of Deep Question Generation (DQG), which...
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01/23/2020
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Existing entity alignment methods mainly vary on the choices of encoding...
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01/07/2020
Paraphrase Generation with Latent Bag of Words
Paraphrase generation is a longstanding important problem in natural lan...
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11/26/2019
Integrating Relation Constraints with Neural Relation Extractors
Recent years have seen rapid progress in identifying predefined relation...
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09/20/2019
Jointly Learning Entity and Relation Representations for Entity Alignment
Entity alignment is a viable means for integrating heterogeneous knowled...
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09/02/2019
A Sketch-Based System for Semantic Parsing
This paper presents our semantic parsing system for the evaluation task ...
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08/31/2019
Generating Classical Chinese Poems from Vernacular Chinese
Classical Chinese poetry is a jewel in the treasure house of Chinese cul...
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08/22/2019
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Entity alignment is the task of linking entities with the same real-worl...
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06/11/2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
We study learning of a matching model for response selection in retrieva...
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05/28/2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
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02/25/2019
Lattice CNNs for Matching Based Chinese Question Answering
Short text matching often faces the challenges that there are great word...
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11/09/2018
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach
Relation extraction is the task of identifying predefined relationship b...
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10/21/2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
The recent advances in deep neural networks (DNNs) make them attractive ...
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10/13/2018
Overview of CAIL2018: Legal Judgment Prediction Competition
In this paper, we give an overview of the Legal Judgment Prediction (LJP...
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08/22/2018
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots
We consider matching with pre-trained contextualized word vectors for mu...
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07/04/2018
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
In this paper, we introduce the Chinese AI and Law challenge dataset (CA...
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05/15/2018
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
The success of many natural language processing (NLP) tasks is bound by ...
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12/11/2017
Scale Up Event Extraction Learning via Automatic Training Data Generation
The task of event extraction has long been investigated in a supervised ...
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07/28/2017
Learning to Predict Charges for Criminal Cases with Legal Basis
The charge prediction task is to determine appropriate charges for a giv...
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05/11/2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Distant supervision significantly reduces human efforts in building trai...
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04/07/2017
A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification
Sentence simplification reduces semantic complexity to benefit people wi...
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03/03/2016
Question Answering on Freebase via Relation Extraction and Textual Evidence
Existing knowledge-based question answering systems often rely on small ...
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06/25/2015