Determining the Compositionality of Noun-Adjective Pairs with Lexical Variants and Distributional Semantics
نویسندگان
چکیده
English. In this work we employed a set of 26 Italian noun-adjective expressions to test compositionality indices that compare the distributional vector of an expression with the vectors of its lexical variants. These were obtained by replacing the components of the original expression with semantically related words. Our indices performed comparably or better than other compositionality measures reported in the distributional literature. Italiano. In questo lavoro si è utilizzato un set di 26 espressioni italiane nomeaggettivo per testare degli indici di composizionalità che confrontano il vettore distribuzionale di un’espressione con i vettori delle sue varianti lessicali. Queste sono state ottenute sostituendo i componenti dell’espressione di partenza con parole semanticamente correlate. La performance dei nostri indici si è dimostrata comparabile o superiore a quella di altri indici di composizionalità riportati nella letteratura distribuzionale.
منابع مشابه
Computing Semantic Compositionality in Distributional Semantics
This article introduces and evaluates an approach to semantic compositionality in computational linguistics based on the combination of Distributional Semantics and supervised Machine Learning. In brief, distributional semantic spaces containing representations for complex constructions such as Adjective-Noun and Verb-Noun pairs, as well as for their constituent parts, are built. These represen...
متن کاملA Regression Model of Adjective-Noun Compositionality in Distributional Semantics
In this paper we explore the computational modelling of compositionality in distributional models of semantics. In particular, we model the semantic composition of pairs of adjacent English Adjectives and Nouns from the British National Corpus. We build a vector-based semantic space from a lemmatised version of the BNC, where the most frequent A-N lemma pairs are treated as single tokens. We th...
متن کاملEntailment above the word level in distributional semantics
We introduce two ways to detect entailment using distributional semantic representations of phrases. Our first experiment shows that the entailment relation between adjective-noun constructions and their head nouns (big cat |= cat), once represented as semantic vector pairs, generalizes to lexical entailment among nouns (dog |= animal). Our second experiment shows that a classifier fed semantic...
متن کاملShared Task System Description: Measuring the Compositionality of Bigrams using Statistical Methodologies
The measurement of relative compositionality of bigrams is crucial to identify Multi-word Expressions (MWEs) in Natural Language Processing (NLP) tasks. The article presents the experiments carried out as part of the participation in the shared task ‘Distributional Semantics and Compositionality (DiSCo)’ organized as part of the DiSCo workshop in ACLHLT 2011. The experiments deal with various c...
متن کاملDistributional semantic phrases vs. semantic distributional nonsense: Adjective modification in compositional distributional semantics
In this talk, I discuss the ability of compositional distributional semantics to model adjective modification. I present three studies that explore the degree to which semantic intuitions are grounded in the distributional representations of adjective-noun phrases, as well as provide insight into various linguistic phenomena by extracting unsupervised cues from these distributional representati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016