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11/30/2021
Bilingual Topic Models for Comparable Corpora
Probabilistic topic models like Latent Dirichlet Allocation (LDA) have b...
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12/11/2020
Query Understanding for Natural Language Enterprise Search
Natural Language Search (NLS) extends the capabilities of search engines...
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10/24/2019
Wasserstein distances for evaluating cross-lingual embeddings
Word embeddings are high dimensional vector representations of words tha...
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09/21/2018
Lexical Bias In Essay Level Prediction
Automatically predicting the level of non-native English speakers given ...
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07/26/2018
Concurrent Learning of Semantic Relations
Discovering whether words are semantically related and identifying the s...
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05/11/2018
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Many information retrieval algorithms rely on the notion of a good dista...
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07/24/2017
CAp 2017 challenge: Twitter Named Entity Recognition
The paper describes the CAp 2017 challenge. The challenge concerns the p...
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07/12/2017
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Traditional sentiment analysis approaches tackle problems like ternary (...
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05/03/2017
On the effectiveness of feature set augmentation using clusters of word embeddings
Word clusters have been empirically shown to offer important performance...
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06/21/2016
An empirical study on large scale text classification with skip-gram embeddings
We investigate the integration of word embeddings as classification feat...
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06/14/2016
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification
This paper describes the participation of the team "TwiSE" in the SemEva...
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06/09/2016
e-Commerce product classification: our participation at cDiscount 2015 challenge
This report describes our participation in the cDiscount 2015 challenge ...
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06/01/2016
