Recognizing analogies, synonyms, antonyms, and associations appear to be four distinct tasks, requiring distinct NLP algorithms. In the past, the four tasks have been treated independently, using a wide variety of algorithms. These four semantic classes, however, are a tiny sample of the full range of semantic phenomena, and we cannot afford to create ad hoc algorithms for each semantic phenomenon; we need to seek a unified approach. We propose to subsume a broad range of phenomena under analogies. To limit the scope of this paper, we restrict our attention to the subsumption of synonyms, antonyms, and associations. We introduce a supervised corpus-based machine learning algorithm for classifying analogous word pairs, and we show that it ca...
There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, t...
Analogies are 4-ary relations of the form “A is to B as C is to D”. When A, B and C are fixed, we ca...
Over the past decade, analogies, in the form of word-level analogies, have played a significant role...
Recognizing analogies, synonyms, antonyms, and associations appear to be four\ud distinct tasks, req...
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of i...
We present an algorithm for learning from unlabeled text, based on the Vector SpaceModel (VSM) of in...
Analogical proportions are statements of the form ‘a is to b as c is to d’, formally denoted . This ...
By middle childhood, humans are able to learn abstract semantic relations (e.g., antonym, synonym, c...
It has been argued that analogy is the core of cognition. In AI research, algorithms for analogy are...
A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lexical analogies ...
Analogical proportions are statements of the form ‘a is to b as c is to d’, formally denoted a:b::c:...
Analogies are a fundamental human reasoning pattern that relies on relational similarity. Understand...
The Analogy-Based Lexical Acquisition System that we describe in this report belongs to a by now big...
How does the word analogy task fit in the modern NLP landscape? Given the rarity of comparable multi...
How does the word analogy task fit in the modern NLP landscape? Given the rarity of comparable multi...
There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, t...
Analogies are 4-ary relations of the form “A is to B as C is to D”. When A, B and C are fixed, we ca...
Over the past decade, analogies, in the form of word-level analogies, have played a significant role...
Recognizing analogies, synonyms, antonyms, and associations appear to be four\ud distinct tasks, req...
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of i...
We present an algorithm for learning from unlabeled text, based on the Vector SpaceModel (VSM) of in...
Analogical proportions are statements of the form ‘a is to b as c is to d’, formally denoted . This ...
By middle childhood, humans are able to learn abstract semantic relations (e.g., antonym, synonym, c...
It has been argued that analogy is the core of cognition. In AI research, algorithms for analogy are...
A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lexical analogies ...
Analogical proportions are statements of the form ‘a is to b as c is to d’, formally denoted a:b::c:...
Analogies are a fundamental human reasoning pattern that relies on relational similarity. Understand...
The Analogy-Based Lexical Acquisition System that we describe in this report belongs to a by now big...
How does the word analogy task fit in the modern NLP landscape? Given the rarity of comparable multi...
How does the word analogy task fit in the modern NLP landscape? Given the rarity of comparable multi...
There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, t...
Analogies are 4-ary relations of the form “A is to B as C is to D”. When A, B and C are fixed, we ca...
Over the past decade, analogies, in the form of word-level analogies, have played a significant role...