Ненадзорные подходы
Related Papers
The University of Alicante systems at Senseval-3
The DLSI-UA team is currently working on sev- eral word sense disambiguation approaches, both supervised and unsupervised. These approaches are based on different ways to use both annotated and unannotated …...
Automatic Extraction of Briefing Templates
An approach to solving the problem of au- tomatic briefing generation from non-textual events can be segmenting the task into two major steps, namely, extraction of briefing templates and learning …...
Combining Lexical Resources for Contextual Synonym Expansion
In this paper, we experiment with the task of contextual synonym expansion, and com- pare the benefits of combining multiple lexical resources using both unsupervised and super- vised approaches. Overall, …...
Unsupervised Learning Summarization Templates from Concise Summaries
We here present and compare two unsuper- vised approaches for inducing the main con- ceptual information in rather stereotypical summaries in two different languages. We evaluate the two approaches in …...
Word Sense Disambiguation for 158 Languages using Word Embeddings Only
AbstractDisambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were developed to solve this task. However, …...
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
AbstractParaphrase generation plays an essential role in natural language process (NLP), and it has many downstream applications. However, training supervised paraphrase models requires many annotated paraphrase pairs, which are usually …...
Learning Paralinguistic Features from Audiobooks through Style Voice Conversion
AbstractParalinguistics, the non-lexical components of speech, play a crucial role in human-human interaction. Models designed to recognize paralinguistic information, particularly speech emotion and style, are difficult to train because of …...
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
AbstractParaphrase generation is a longstanding NLP task that has diverse applications on downstream NLP tasks. However, the effectiveness of existing efforts predominantly relies on large amounts of golden labeled data. …...
Automatic Nominalization of Clauses through Textual Entailment
AbstractNominalization re-writes a clause as a noun phrase. It requires the transformation of the head verb of the clause into a deverbal noun, and the verb’s modifiers into nominal modifiers. …...
HW-TSC at SemEval-2022 Task 7: Ensemble Model Based on Pretrained Models for Identifying Plausible Clarifications
AbstractThis paper describes the system for the identifying Plausible Clarifications of Implicit and Underspecified Phrases. This task was set up as an English cloze task, in which clarifications are presented …...
ParaDetox: Detoxification with Parallel Data
AbstractWe present a novel pipeline for the collection of parallel data for the detoxification task. We collect non-toxic paraphrases for over 10,000 English toxic sentences. We also show that this …...
Learning to Retrieve Engaging Follow-Up Queries
AbstractOpen domain conversational agents can answer a broad range of targeted queries. However, the sequential nature of interaction with these systems makes knowledge exploration a lengthy task which burdens the …...