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1
Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers ...
Vitiugin, Fedor; Castillo, Carlos. - : arXiv, 2022
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2
Simplifying Multilingual News Clustering Through Projection From a Shared Space ...
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3
Towards Best Practices for Training Multilingual Dense Retrieval Models ...
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4
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains ...
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5
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval ...
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6
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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7
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers ...
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8
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ...
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9
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction ...
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10
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ...
Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2022
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11
Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language ...
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12
Shedding New Light on the Language of the Dark Web ...
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13
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback ...
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14
Improving Word Translation via Two-Stage Contrastive Learning ...
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15
nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models ...
Abstract: This paper describes our submission to the Competition on Legal Information Extraction/Entailment 2022 (COLIEE-2022) workshop on case law competition for tasks 1 and 2. Task 1 is a legal case retrieval task, which involves reading a new case and extracting supporting cases from the provided case law corpus to support the decision. Task 2 is the legal case entailment task, which involves the identification of a paragraph from existing cases that entails the decision in a relevant case. We employed the neural models Sentence-BERT and Sent2Vec for semantic understanding and the traditional retrieval model BM25 for exact matching in both tasks. As a result, our team ("nigam") ranked 5th among all the teams in Tasks 1 and 2. Experimental results indicate that the traditional retrieval model BM25 still outperforms neural network-based models. ... : COLIEE-2022 Workshop paper run in association with the International Workshop in Juris-Informatics (JURISIN 2022) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.07853
https://arxiv.org/abs/2204.07853
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16
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ...
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17
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ...
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18
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER ...
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19
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ...
Xu, Canwen; Guo, Daya; Duan, Nan. - : arXiv, 2022
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20
Machine Learning for Food Review and Recommendation ...
Le, Tan Khang; Hui, Siu Cheung. - : arXiv, 2022
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