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Found 7 papers, 0 papers with code
Findings from Experiments of On-line Joint Reinforcement Learning of Semantic Parser and Dialogue Manager with real Users
The analysis of these experiments gives us some insights, discussed in the paper, into the difficulty for the system's trainers to establish a coherent and constant behavioural strategy to enable a fast and good-quality training phase.
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences.
A Multilingual Study of Compressive Cross-Language Text Summarization
Cross-Language Text Summarization (CLTS) generates summaries in a language different from the language of the source documents.
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM
Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP).
Joint On-line Learning of a Zero-shot Spoken Semantic Parser and a Reinforcement Learning Dialogue Manager
Several variants of joint learning are investigated and tested with user trials to confirm that the overall on-line learning can be obtained after only a few hundred training dialogues and can overstep an expert-based system.
Métodos de Otimização Combinatória Aplicados ao Problema de Compressão MultiFrases
The Internet has led to a dramatic increase in the amount of available information.
Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14
This year, the DEFT campaign (D\'efi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented.
