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Found 17 papers, 3 papers with code
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical.
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval
We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks.
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language
First, legal reasoning can be performed on the basis of the binary tree representation of the regulations.
Attentive Deep Neural Networks for Legal Document Retrieval
The performance of legal text retrieval depends, to a large extent, on the representation of text, both query and legal documents.
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic Parsing
In addition, to prove the generalization of our proposed model, we also conduct extensive experiments on three translation datasets IWLST14 German-English, IWSLT15 Vietnamese-English, WMT14 English-German, and show significant improvement.
Ranked #1 on
Semantic Parsing
on ATIS
Transformer-based Approaches for Legal Text Processing
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition.
HYDRA -- Hyper Dependency Representation Attentions
Attention is all we need as long as we have enough data.
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
Ambiguity is a characteristic of natural language, which makes expression ideas flexible.
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
COLIEE is an annual competition in automatic computerized legal text processing.
DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays
We show that a fully functional DeepLight system is able to robustly achieve high decoding accuracy (frame error rate < 0. 2) and moderately-high data goodput (>=0. 95Kbps) using a human-held smartphone camera, even over larger screen-camera distances (approx =2m).
CovRelex: A COVID-19 Retrieval System with Relation Extraction
This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers.
PhraseTransformer: Self-Attention using Local Context for Semantic Parsing
Semantic parsing is a challenging task whose purpose is to convert a natural language utterance to machine-understandable information representation.
Answering Legal Questions by Learning Neural Attentive Text Representation
We present a retrieval-based model for the task by learning neural attentive text representation.
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020.
Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model
On one hand, we adopt a summarization based model called encoded summarization which encodes a given document into continuous vector space which embeds the summary properties of the document.
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks
In this paper, we present a method of automatic catchphrase extracting from legal case documents.
