Статистические модели

All of BBN's research under the TIPSTER III program has focused on doing extraction by applying statistical models trained on annotated data, rather than by using programs that execute hand-written …...

\Ve JH't'::wnt statistical rnodels of Japanese dependency analysis aud report results of some experiments to in- vestigate the pnfonuancc of the models for the use fo a partical parsing system. …...

AbstractWe describe methods for translating a text given in multiple source languages into a single target language. The goal is to improve translation quality in applications where the ultimate goal …...

We describe a set of supervised ma- chine learning experiments centering on the construction of statistical mod- els of WH-questions. These models, which are built from shallow linguis- tic features …...

In this paper we investigate a new problem of identifying the perspective from which a document is written. By perspective we mean a point of view, for example, from the …...

. The statistical models used for dialogue systems need annotated data (dialogues) to infer their statistical parameters. Dialogues are usually annotated in terms of Dialogue Acts (DA). The annotation problem …...

AbstractCorpus-based dialogue systems rely on statistical models, whose parameters are inferred from annotated dialogues. The dialogues are usually annotated in terms of Dialogue Acts (DA), and the manual annotation is …...

Understanding and interpretation of nominal compounds has been a long-standing area of interest in NLP research for various rea- sons. (1) Nominal compounds occur fre- quently in most languages. (2) …...

In a conventional telephone conversation be- tween two speakers of the same language, the interaction is real-time and the speakers pro- cess the information stream incrementally. In this work, we …...

AbstractAcademic lectures offer valuable content, but often do not reach their full potential audience due to the language barrier. Human translations of lectures are too expensive to be widely used. …...

AbstractBuilding speech corpora is a first and crucial step for every text-to-speech synthesis system. Nowadays, the use of statistical models implies the use of huge sized corpora that need to …...

Aspect extraction is one of the key tasks in sentiment analysis. In recent years, statistical models have been used for the task. However, such models without any domain knowledge often …...

This paper offers an approach for governments to harness the information contained in social media in order to make public inspections and disclosure more efficient. As a case study, we …...

Multiple treebanks annotated under heteroge- neous standards give rise to the research ques- tion of best utilizing multiple resources for im- proving statistical models. Prior research has focused on discrete …...

AbstractCapturing semantic relations between sentences, such as entailment, is a long-standing challenge for computational semantics. Logic-based models analyse entailment in terms of possible worlds (interpretations, or situations) where a premise …...

. We report a series of experiments with different semantic models on top of various statistical models for extractive text summarization. Though statistical models may better cap- ture word co-occurrences …...

AbstractMost approaches to emotion analysis in fictional texts focus on detecting the emotion expressed in text. We argue that this is a simplification which leads to an overgeneralized interpretation of …...

AbstractApproaches to Quality Estimation (QE) of machine translation have shown promising results at predicting quality scores for translated sentences. However, QE models are often trained on noisy approximations of quality …...

AbstractFrom statistical to neural models, a wide variety of topic modelling algorithms have been proposed in the literature. However, because of the diversity of datasets and metrics, there have not …...