A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Ast-trans: Code summarization with efficient tree-structured attention
Code summarization aims to generate brief natural language descriptions for source codes.
The state-of-the-art approaches follow a transformer-based encoder-decoder architecture …
The state-of-the-art approaches follow a transformer-based encoder-decoder architecture …
Diversifying dialogue generation with non-conversational text
Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-
diversity problem when it comes to open-domain dialogue generation. As bland and generic …
diversity problem when it comes to open-domain dialogue generation. As bland and generic …
Product answer generation from heterogeneous sources: A new benchmark and best practices
It is of great value to answer product questions based on heterogeneous information
sources available on web product pages, eg, semi-structured attributes, text descriptions …
sources available on web product pages, eg, semi-structured attributes, text descriptions …
Ed2lm: Encoder-decoder to language model for faster document re-ranking inference
State-of-the-art neural models typically encode document-query pairs using cross-attention
for re-ranking. To this end, models generally utilize an encoder-only (like BERT) paradigm or …
for re-ranking. To this end, models generally utilize an encoder-only (like BERT) paradigm or …
Learning fine-grained fact-article correspondence in legal cases
Automatically recommending relevant law articles to a given legal case has attracted much
attention as it can greatly release human labor from searching over the large database of …
attention as it can greatly release human labor from searching over the large database of …
Topic-centric unsupervised multi-document summarization of scientific and news articles
A Alambo, C Lohstroh, E Madaus… - … Conference on Big …, 2020 - ieeexplore.ieee.org
Recent advances in natural language processing have enabled automation of a wide range
of tasks, including machine translation, named entity recognition, and sentiment analysis …
of tasks, including machine translation, named entity recognition, and sentiment analysis …
Unsupervised pidgin text generation by pivoting english data and self-training
West African Pidgin English is a language that is significantly spoken in West Africa,
consisting of at least 75 million speakers. Nevertheless, proper machine translation systems …
consisting of at least 75 million speakers. Nevertheless, proper machine translation systems …
Knowledge-enhanced session-based recommendation with temporal transformer
Recent research has achieved impressive progress in the session-based recommendation.
However, information such as item knowledge and click time interval, which could be …
However, information such as item knowledge and click time interval, which could be …
Neural ranking with weak supervision for open-domain question answering: A survey
Neural ranking (NR) has become a key component for open-domain question-answering in
order to access external knowledge. However, training a good NR model requires …
order to access external knowledge. However, training a good NR model requires …