Mathematical structures of language

By Zellig S. Harris. 1968

Subfields: Computational Linguistics & Semantics

Citations in the corpus

• Natural Language Processing (Almost) from Scratch (2011, neutral): “g algorithms. The lack of hierarchical representation seems a fatal aw (Chomsky, 1956). However, ranking is closely related to an alternative description of the language structure: operator grammars (Harris, 1968). Instead of directly studying the structure of a sentence, Harris denes an algebraic s”
• Category-theoretic quantitative compositional distributional models of natural language semantics (2013, unknown): “This approach is based on the distributional hypothesis of Harris [44], who postulated that the meaning of a word was dictated by the context of its use.”
• Vector-based Models of Semantic Composition (2008, unknown): “The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar (Harris, 1968).”
• The Distributional Inclusion Hypotheses and Lexical Entailment (2005, unknown): “It is based on the general idea of Harris' Distributional Hypothesis, suggesting that words that occur within similar contexts are semantically similar (Harris, 1968).”
• LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity (2017, unknown): “The theories by Harris (1968) inspire NLP algorithms where it is said that word use leads to meaning (which is commonly interpreted as word co-occurrence).”
• Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition (2000, unknown): “This intuition was first suggested by Harris (1968), who pointed out the relation between meaning and syntactic combinatory possibilities: The meaning of entities, and the meaning of grammatical relations among them, is related to the restriction of combinations of these entities relative to other…”
• Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis (2005, unknown): “The main paradigms for learning taxonomic relations exploited in the literature are on the one hand clustering approaches based on the distributional hypothesis (Harris, 1968) and on the other hand approaches based on matching lexico-syntactic patterns in a corpus which convey a certain relation.”
• Compositional Operators in Distributional Semantics (2014, unknown): “The distributional paradigm is based on the distributional hypothesis [18], stating that words that occur in the same context have similar meanings.”
• FREQUENCY EFFECTS IN LANGUAGE PROCESSING (2002, unknown): “It was a key concept in the theories and practices of American structural linguists such as Harris (1955, 1968).”
• Prior Disambiguation of Word Tensors for Constructing Sentence Vectors (2013, unknown): “These models are based on the distributional hypothesis of Harris (1968), which states that the meaning of a word depends on its context.”
• Recursion and the infinitude claim (2010, unknown): “There is a collection of objects (the utterances of the language, idealized in Harris 1968 as strings paired with acceptability scores), whose exact boundaries are not clear and do not really matter (see Harris 1968: 10–12 for a suggestion that the collection of all utterances is “not well-defined…”
• Composition in Distributional Models of Semantics (2010, unknown): “Despite their differences, they are all based on the same premise: Words occurring within similar contexts are semantically similar (Harris, 1968).”
• Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, unknown): “, for computing statistics such as pointwise mutual information [38], for unsupervised sense clustering [136], and more generally, a large body of work in lexical semantics based on distributional profiles of words, dating back to Firth [55] and Harris [69] in the 1950s and 1960s.”
• A Context-Theoretic Framework for Compositionality in Distributional Semantics (2011, unknown): “This is an old idea with origins in the philosophy of Wittgenstein ( 1953 ), who said that “meaning just is use,” Firth's ( 1968 ) “You shall know a word by the company it keeps,” and the distributional hypothesis of Harris ( 1968 ), that words will occur in similar contexts if and only if they have”
• UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems (2013, unknown): “LSA Word Similarity relies on the distributional hypothesis that words occurring in the same contexts tend to have similar meanings (Harris, 1968).”