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- research-articleFebruary 2024
<inline-formula><tex-math notation="LaTeX">$\boldsymbol{R}^{2}$</tex-math></inline-formula>: A Novel Recall & Ranking Framework for Legal Judgment Prediction
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 32Pages 1609–1622https://doi.org/10.1109/TASLP.2024.3365389The legal judgment prediction (LJP) task is to automatically decide appropriate law articles, charges, and term of penalty for giving the fact description of a law case. It considerably influences many real legal applications and has thus attracted the ...
- research-articleApril 2023
Building Conventional “Experts” With a Dialogue Logic Programming Language
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 31Pages 1784–1796https://doi.org/10.1109/TASLP.2023.3271119We describe DiaProlog, a dialogue logic programming language that extends the vanilla Prolog with the features to facilitate the integration of reasoning capabilities into task-oriented dialogue systems. The extended language combines the expressive power ...
- articleMarch 2016
An unsupervised cross-lingual topic model framework for sentiment classification
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 24, Issue 3Pages 432–444https://doi.org/10.1109/TASLP.2015.2512041Sentiment classification aims to determine the sentiment polarity expressed in a text. In online customer reviews, the sentiment polarities of words are usually dependent on the corresponding aspects. For instance, in mobile phone reviews, we may expect ...
- articleDecember 2015
Statistical framework with knowledge base integration for robust speech understanding of the Tunisian dialect
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 23, Issue 12Pages 2311–2321https://doi.org/10.1109/TASLP.2015.2464687In this paper, we propose a hybrid method for the spoken Tunisian dialect understanding within a limited task. This method couples a discriminative statistical method with a domain ontology. The statistical method is based on conditional random field (...
- articleMarch 2015
Learning semantic hierarchies: a continuous vector space approach
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 23, Issue 3Pages 461–471Semantic hierarchy construction aims to build structures of concepts linked by hypernym-hyponym ("is-a") relations. A major challenge for this task is the automatic discovery of such relations. This paper proposes a novel and effective method for the ...
- articleMarch 2015
Distributed feature representations for dependency parsing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 23, Issue 3Pages 451–460https://doi.org/10.1109/TASLP.2014.2365359This paper presents an approach to automatically learning distributed representations for features to address the feature sparseness problem for dependency parsing. Borrowing terminologies from word embeddings, we call the feature representation feature ...
- articleDecember 2014
Latent semantic rational kernels for topic spotting on conversational speech
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 22, Issue 12Pages 1738–1749https://doi.org/10.1109/TASLP.2014.2347133In this work, we propose latent semantic rational kernels (LSRK) for topic spotting on conversational speech. Rather than mapping the input weighted finite-state transducers (WFSTs) onto a high dimensional n-gram feature space as in n-gram rational ...
- articleMay 2014
Spoken knowledge organization by semantic structuring and a prototype course lecture system for personalized learning
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 22, Issue 5Pages 883–898https://doi.org/10.1109/TASLP.2014.2310993It takes very long time to go through a complete online course. Without proper background, it is also difficult to understand retrieved spoken paragraphs. This paper therefore presents a new approach of spoken knowledge organization for course lectures ...
