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    Textual entailment systems that operate on syntactic tree... — Carmelics
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    Challenges→The conception of sentences as meaning representations is consistent with Montague's contention that language is logic.

    Textual entailment systems that operate on syntactic trees without intensional semantics omit the modal and temporal operators central to Montague Grammar.

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    1 reason for
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    Reasons For

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    Reason for
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    • 1.Montague Grammar systematically represents modality and temporality; syntactic trees alone cannot distinguish 'must happen' from 'happens'.
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    • 2.Entailment validity depends on scope relations between operators; syntax without intensional semantics conflates different logical structures.
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    • 3.Natural language reasoning about obligations, possibilities, and time-order requires explicit modal/temporal operators to avoid false entailments.
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    Reasons Against

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    Reason against
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    • 1.Most textual entailment datasets lack modal/temporal complexity; syntactic systems achieve high performance on actual tasks without intensional semantics.
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    • 2.Neural models learn implicit modal/temporal representations from data without formal Montague structures, suggesting explicit intensional semantics unnecessary.
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    • 3.Montague Grammar's mathematical elegance doesn't entail that practical NLP must implement it; engineering solutions can succeed via different architectures.
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    Related

    Entailment validity depends on scope relations between operators; syntax without...Montague Grammar systematically represents modality and temporality; syntactic t...Montague Grammar's mathematical elegance doesn't entail that practical NLP must ...Most textual entailment datasets lack modal/temporal complexity; syntactic syste...
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    Natural language reasoning about obligations, possibilities, and time-order requ...Neural models learn implicit modal/temporal representations from data without fo...The conception of sentences as meaning representations is consistent with Montag...

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