Inferring Affective Meanings of Words from Word Embedding
نویسندگان
چکیده
منابع مشابه
Inferring word meanings by assuming that speakers are informative.
Language comprehension is more than a process of decoding the literal meaning of a speaker's utterance. Instead, by making the assumption that speakers choose their words to be informative in context, listeners routinely make pragmatic inferences that go beyond the linguistic data. If language learners make these same assumptions, they should be able to infer word meanings in otherwise ambiguou...
متن کاملLearning Word Meanings From Examples
This paper describes work in progress on a computer program that uses syntactic constraints to derive the meanings of verbs from an analysis of simple English example stories. The central idea is an extension of Winston's (Winston 1975) program that learned the structural descriptions of blocks world scenes. In the new research, English verbs take the place of blocks world objects like ARCH and...
متن کاملCan We Neglect Function Words in Word Embedding?
Distributed representation is the most popular way to capture semantic and syntactic features recently, and it has been widely used in various natural language processing tasks. Function words express a grammatical or structural relationship with other words in a sentence. However, previous works merely considered that function words are equal to content words or neglected function words, there...
متن کاملMultidimensional counting grids: Inferring word order from disordered bags of words
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a very different pattern of variation than the patterns that are efficiently captured by topic mixing. In many cases, from one bag of words to the next, the words disappear and new ones appear as if the theme slowly and...
متن کاملUse of Wordnet for Retrieving Words from Their Meanings
This paper presents a Meaning to Word System (MTW) for Turkish Language, that finds a set of words, closely matching the definition entered by the user. The approach of extracting words from “meaning”s is based on checking the similarity between the user’s definition and each entry of the Turkish database without considering any semantics or grammatical information. Results on unseen user queri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Affective Computing
سال: 2017
ISSN: 1949-3045
DOI: 10.1109/taffc.2017.2723012