・ This leads to the problem of structured matching of regions and phrases: (1) individual regions agree with their corresponding phrases. (2) visual relations among regions agree with textual relations among corresponding phrases. ・ For the task of phrase localization, we propose a structured matching of phrases and regions that encourages the semantic relations between phrases to agree with th...

In our system, noun phrases in the query are identified and classified into 4 types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content words in a phrase are within a window of a certain size. The window sizes for different types of phrases are different. We consider phrases to be more important than individual terms. As a consequence, d...

A natural language parser that could extract noun phrases for all medical texts would be of great utility in analyzing content for information retrieval. We discuss the extraction of noun phrases from MEDLINE, using a general parser not tuned specifically for any medical domain. The noun phrase extractor is made up of three modules: tokenization; part-of-speech tagging; noun phrase identificati...

The present work describes a Phrasal Example Based Machine Translation system from English to Bengali that identifies the phrases in the input through a shallow analysis, retrieves the target phrases using a Phrasal Example base and finally combines the target language phrases employing some heuristics based on the phrase ordering rules for Bengali. The paper focuses on the structure of the nou...

Suggestions are made as to how phrase extraction algorithms should be adapted to handle gapped phrases. Such variable phrases are useful for many purposes, including the characterization of learner texts. The basic problem is that there is a combinatorial explosion of such phrases. Any reasonable program must start by putting the exponentially many phrases into equivalence classes (Yamamoto and...