Papers › Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

16 Apr 2021NAACL 2021 4arXiv:2104.08400archive 2025-07-28

Jiaao Chen, Diyi Yang

Abstractive conversation summarization has received much attention recently. However, these generated summaries often suffer from insufficient, redundant, or incorrect content, largely due to the unstructured and complex characteristics of human-human interactions. To this end, we propose to explicitly model the rich structures in conversations for more precise and accurate conversation summarization, by first incorporating discourse relations between utterances and action triples ("who-doing-what") in utterances through structured graphs to better encode conversations, and then designing a multi-granularity decoder to generate summaries by combining all levels of information. Experiments show that our proposed models outperform state-of-the-art methods and generalize well in other domains in terms of both automatic evaluations and human judgments. We have publicly released our code at https://github.com/GT-SALT/Structure-Aware-BART.

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swish GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 0f786c407fb1ee4c · report
count_trainable_parameters GT-SALT/Structure-Aware-BART/src/callbacks.py official repository ran MIT (permissive) · a3826392847cbef3 · report
gelu GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations_tf.py official repository ran fingerprinted MIT (permissive) · 14a1c81ea568d152 · report
gelu_fast GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · a4475703ff58ecf9 · report
gelu_new GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations.py official repository ran fingerprinted MIT (permissive) · aef07bb1e2787431 · report
gelu_new GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations_tf.py official repository ran fingerprinted MIT (permissive) · 13718ddda6b66f8e · report
get_early_stopping_callback GT-SALT/Structure-Aware-BART/src/callbacks.py official repository ran MIT (permissive) · 295d9fdc5ce0b054 · report
invert_mask GT-SALT/Structure-Aware-BART/transformers/src/transformers/modeling_bart.py official repository ran · violated contract MIT (permissive) · 874a42377fa0659f · report
make_padding_mask GT-SALT/Structure-Aware-BART/transformers/src/transformers/modeling_bart.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · f20c9b1aead27fea · report
shift_tokens_right GT-SALT/Structure-Aware-BART/transformers/src/transformers/modeling_bart.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · e00ccf7847d12b59 · report
encode_line GT-SALT/Structure-Aware-BART/src/utils.py official repository unverified MIT (permissive) · 668b8e99ed0c27e5 · report
get_checkpoint_callback GT-SALT/Structure-Aware-BART/src/callbacks.py official repository unverified MIT (permissive) · d6fdbced63d1ed12 · report
label_smoothed_nll_loss GT-SALT/Structure-Aware-BART/src/utils.py official repository unverified MIT (permissive) · e386d3a24af4d168 · report
lmap GT-SALT/Structure-Aware-BART/src/utils.py official repository unverified MIT (permissive) · b508796abb35571f · report
load_xsum_checkpoint GT-SALT/Structure-Aware-BART/transformers/src/transformers/convert_bart_original_pytorch_checkpoint_to_pytorch.py official repository unverified MIT (permissive) · 20e1eb8c4dd8d2d1 · report
mish GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations_tf.py official repository unverified MIT (permissive) · cc8c8c3ebf0c343f · report

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