Difference in dependency parsing

Question

Difference in dependency parsing

Opened this issue 8 years ago · 6 comments

Sentence "A two-tier scheme (Pang and Lee, 2004) where sentences are first classified as subjective versus objective , and then applying the sentiment classifier on only the subjective sentences further improves performance." gives different tree locally than in displacy.

Answer 1 · 2016-09-25T08:35:25.000Z

Logged issue in Spacy Github explosion/spaCy#480

Answer 2 · 2016-09-25T11:29:05.000Z

Hi Alisson,

I am away on a trip and will return on 5 Oct. So for this week, I cannot
fix my schedule till Tue. In the worst case, let's communicate by email.

Wei
On 25 Sep 2016 16:35, "Alisson Oldoni" notifications@github.com wrote:

Logged issue in Spacy Github explosion/spaCy#480
explosion/spaCy#480

—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
#20 (comment),
or mute the thread
https://github.com/notifications/unsubscribe-auth/ALpj2pxRe04GdNcZZ3JnNfT-vCw0YI3uks5qtjJNgaJpZM4KF2TM
.

Answer 3 · 2016-09-26T03:54:41.000Z

One thing we could attempt here is for maybe for Dr. @DBWangUNSW to please attempt parsing a sentence locally and see if yours is the same as displacy, then we can narrow to be a issue with my local computer.

E.g.: this sentence: "A two-tier scheme (Pang and Lee, 2004) where sentences are first classified as subjective versus objective , and then applying the sentiment classifier on only the subjective sentences further improves performance."

Thanks.

Answer 4 · 2016-09-26T06:18:30.000Z

Related with #21 since moving to "Stanford" e.g.: could entirely avoiding this problem, while being slower.

Answer 5 · 2016-09-26T07:45:41.000Z

After some investigation, it is quite challenging to add the stanford parse properly in python, but it is something I can continue to work on.

Answer 6 · 2016-10-03T06:12:25.000Z

Other sentence parsed incorrectly:

"As remarked earlier, an automated reasoning facility effectively reduces manual effort and improves match quality and efficiency."
"A two-tier scheme (Pang and Lee, 2004) where sentences are first classified as subjective versus objective , and then applying the sentiment classifier on only the subjective sentences further improves performance."
"Consequently, IPL improves read performance by reducing the number of log pages to read from flash memory when recreating a logical page because log pages do not increase indefinitely (i.e., is bound) due to merging."
"It has been shown that using logic-oriented categorical features not only significantly improves the efficiency of sequences matching but also achieves high accuracy in contentbased retrieval of human-motion data."
"A subsequent work is PWJoin [7] that improves the performance of PJoin utilizing both the window semantics and punctuation semantics."
"A two-tier scheme (Pang and Lee, 2004) where sentences are first classified as subjective versus objective , and then applying the sentiment classifier on only the subjective sentences further improves performance."
"(2008) report that just filtering the phrase table by the socalled well-formed target dependency structure does not help, yet adding a target dependency language model improves performance significantly."