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11/02/2022
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer
Pre-trained Transformers currently dominate most NLP tasks. They impose,...
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06/08/2022
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification
We consider zero-shot cross-lingual transfer in legal topic classificati...
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04/10/2022
Data Augmentation for Biomedical Factoid Question Answering
We study the effect of seven data augmentation (da) methods in factoid q...
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03/12/2022
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Publicly traded companies are required to submit periodic reports with e...
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11/19/2021
Toxicity Detection can be Sensitive to the Conversational Context
User posts whose perceived toxicity depends on the conversational contex...
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10/03/2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Law, interpretations of law, legal arguments, agreements, etc. are typic...
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09/29/2021
EDGAR-CORPUS: Billions of Tokens Make The World Go Round
We release EDGAR-CORPUS, a novel corpus comprising annual reports from a...
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09/02/2021
MultiEURLEX – A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
We introduce MULTI-EURLEX, a new multilingual dataset for topic classifi...
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06/16/2021
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
Question answering (QA) systems for large document collections typically...
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05/26/2021
Deception detection in text and its relation to the cultural dimension of individualism/collectivism
Deception detection is a task with many applications both in direct phys...
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03/24/2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
Interpretability or explainability is an emerging research field in NLP....
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01/18/2021
Diagnostic Captioning: A Survey
Diagnostic Captioning (DC) concerns the automatic generation of a diagno...
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01/12/2021
Neural Contract Element Extraction Revisited
We investigate contract element extraction. We show that LSTM-based enco...
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10/06/2020
LEGAL-BERT: The Muppets straight out of Law School
BERT has achieved impressive performance in several NLP tasks. However, ...
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10/04/2020
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Large-scale Multi-label Text Classification (LMTC) has a wide range of N...
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09/28/2020
Domain Adversarial Fine-Tuning as an Effective Regularizer
In Natural Language Processing (NLP), pre-trained language models (LMs) ...
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08/27/2020
GREEK-BERT: The Greeks visiting Sesame Street
Transformer-based language models, such as BERT and its variants, have a...
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06/01/2020
Toxicity Detection: Does Context Really Matter?
Moderation is crucial to promoting healthy on-line discussions. Although...
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05/13/2020
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. C...
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09/02/2019
SumQE: a BERT-based Summary Quality Estimation Model
We propose SumQE, a novel Quality Estimation model for summarization bas...
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06/18/2019
Transfer Learning for Causal Sentence Detection
We consider the task of detecting sentences that express causality, as a...
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06/13/2019
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Network Embedding (NE) methods, which map network nodes to low-dimension...
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06/05/2019
Neural Legal Judgment Prediction in English
Legal judgment prediction is the task of automatically predicting the ou...
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06/05/2019
Large-Scale Multi-Label Text Classification on EU Legislation
We consider Large-Scale Multi-Label Text Classification (LMTC) in the le...
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05/26/2019
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
We consider the task of Extreme Multi-Label Text Classification (XMTC) i...
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05/26/2019
A Survey on Biomedical Image Captioning
Image captioning applied to biomedical images can assist and accelerate ...
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04/07/2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Neural sequence-to-sequence models are currently the dominant approach i...
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10/31/2018
Generating Texts with Integer Linear Programming
Concept-to-text generation typically employs a pipeline architecture, wh...
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10/31/2018
Extracting Linguistic Resources from the Web for Concept-to-Text Generation
Many concept-to-text generation systems require domain-specific linguist...
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09/15/2018
AUEB at BioASQ 6: Document and Snippet Retrieval
We present AUEB's submissions to the BioASQ 6 document and snippet retri...
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09/05/2018
Deep Relevance Ranking Using Enhanced Document-Query Interactions
We explore several new models for document relevance ranking, building u...
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05/10/2018
Obligation and Prohibition Extraction Using Hierarchical RNNs
We consider the task of detecting contractual obligations and prohibitio...
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08/11/2017
Improved Abusive Comment Moderation with User Embeddings
Experimenting with a dataset of approximately 1.6M user comments from a ...
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05/28/2017
Deep Learning for User Comment Moderation
Experimenting with a new dataset of 1.6M user comments from a Greek news...
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05/09/2015
Probabilistic Cascading for Large Scale Hierarchical Classification
Hierarchies are frequently used for the organization of objects. Given a...
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03/30/2015
LSHTC: A Benchmark for Large-Scale Text Classification
LSHTC is a series of challenges which aims to assess the performance of ...
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04/24/2014
Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System
We present NaturalOWL, a natural language generation system that produce...
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06/28/2013
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches
Hierarchical classification addresses the problem of classifying items i...
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12/18/2009
A Survey of Paraphrasing and Textual Entailment Methods
Paraphrasing methods recognize, generate, or extract phrases, sentences,...
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06/07/2000